Maps

Afghanistan — Overview Map — Returnees from Abroad — December 2019 This map provides information on Returnees from Abroad, Afghans who had fled abroad for at least 6 months and have now returned to Afghanistan, during the period from 2012 through December 2019. public:///thumbs/637299047822811900.png Jul 09 2020 /maps/afghanistan-%E2%80%94-overview-map-%E2%80%94-returnees-abroad-%E2%80%94-december-2019 https://displacement.iom.int/system/tdf/maps/AFG_DTM_December2019_District_Returnees_From_Abroad_Overview_By_District%26Villages.pdf?file=1&type=node&id=9147 9147

Afghanistan — Overview Map — Returned IDPs — December 2019 This map provides information on Returned IDPs, Afghans from an assessed village who had fled as IDPs in the past and now returned home, during the period from 2012 through December 2019. public:///thumbs/637299046801240359.png Jul 09 2020 /maps/afghanistan-%E2%80%94-overview-map-%E2%80%94-returned-idps-%E2%80%94-december-2019 https://displacement.iom.int/system/tdf/maps/AFG_DTM_December2019_District_Returned_IDPs_Overview_By_District%26Villages.pdf?file=1&type=node&id=9146 9146

Afghanistan — Overview Map — Out-Migrants — December 2019 This map provides information on Out Migrants, Afghans who moved or fled abroad, during the period from 2012 through December 2019. public:///thumbs/637299045714667946.png Jul 09 2020 /maps/afghanistan-%E2%80%94-overview-map-%E2%80%94-out-migrants-%E2%80%94-december-2019 https://displacement.iom.int/system/tdf/maps/AFG_DTM_December2019_District_Out_Migrants_Overview_By_District%26Villages.pdf?file=1&type=node&id=9145 9145

Afghanistan — Overview Map — Fled IDPs — December 2019 This map provides information on Fled IDPs, Afghans who have fled an assessed settlement as IDPs to reside elsewhere in Afghanistan, during the period from 2012 through December 2019. public:///thumbs/637299044493957925.png Jul 09 2020 /maps/afghanistan-%E2%80%94-overview-map-%E2%80%94-fled-idps-%E2%80%94-december-2019 https://displacement.iom.int/system/tdf/maps/AFG_DTM_December2019_District_Fled_IDPs_Overview_By_District%26Villages.pdf?file=1&type=node&id=9144 9144

Afghanistan — Overview Map — Arrival IDPs — December 2019 This map provides information on Arrival IDPs, Afghans displaced from other locations currently residing in an assessed village, during the period from 2012 through December 2019. public:///thumbs/637299042690504235.png Jul 09 2020 /maps/afghanistan-%E2%80%94-overview-map-%E2%80%94-arrival-idps-%E2%80%94-december-2019 https://displacement.iom.int/system/tdf/maps/AFG_DTM_December2019_District_Arrival_IDPs_Overview_By_District%26Villages.pdf?file=1&type=node&id=9143 9143

DTM COVID19 Regional Atlas Point Operational Status As Of 26 June 2020 The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel, and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional, and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE) and Key Locations of Internal Mobility, globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points, and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied, and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at the location level. public:///thumbs/637292088669819596.png Jul 01 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-26-june-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200626_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=9077 9077

DTM COVID19 Regional Atlas Point Operational Status As Of 18 June 2020 The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel, and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional, and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE) and Key Locations of Internal Mobility, globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points, and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied, and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at the location level. public:///thumbs/637286240032702629.png Jun 24 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-18-june-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200618_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=9031 9031

DTM COVID19 Regional Atlas Point Operational Status As Of 11 June 2020 The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel, and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional, and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE) and Key Locations of Internal Mobility, globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points, and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied, and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at the location level. public:///thumbs/637280065663607582.png Jun 17 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-11-june-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_2020.06.11_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=8967 8967

DTM COVID19 Regional Atlas Point Operational Status As Of 04 June 2020 The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE) and Other Key Locations of Internal Mobility, globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at location level. public:///thumbs/637274105625330203.png Jun 10 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-04-june-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200604_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=8898 8898

South Sudan — Mobility Tracking Round 8 IDPs by County (March 2020) This map displays the number of IDPs by county as of March 2020 (round 8 of mobility tracking).  public:///thumbs/637274633432094556.png Jun 08 2020 /maps/south-sudan-%E2%80%94-mobility-tracking-round-8-idps-county-march-2020 https://displacement.iom.int/system/tdf/maps/MT_R8_IDPs_county_overview_1_0.pdf?file=1&type=node&id=8867 8867

South Sudan — Mobility Tracking Round 8 Returnees by County (March 2020) This map displays the number of returnees by county as of March 2020 (round 8 of mobility tracking).  public:///thumbs/637274634245507847.png Jun 08 2020 /maps/south-sudan-%E2%80%94-mobility-tracking-round-8-returnees-county-march-2020 https://displacement.iom.int/system/tdf/maps/MT_R8_Returnees_county_overview_1_0.pdf?file=1&type=node&id=8866 8866

South Sudan — COVID-19 - Inflows Flow Neighbouring Countries (April 2020) IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggregated data about COVID-19 cases in neighbouring countries compiled by UNICEF, with the aim of mapping population inflows at risk of COVID-19 transmission. Data on individuals travelling from areas with COVID-19 cases includes both those entering from neighbouring countries as well as internal movements within South Sudan. The reported volume of individuals entering South Sudan from neighbouring countries has decreased considerably in April compared to March due to several factors:​a reduction of population flows due to regional COVID-19 preventive measuresa reduction of flow monitoring pointsmore precise geographic data on areas with confirmed COVID-19 casesData reflects the situation as of 30 April.  public:///thumbs/637275461014537345.png Jun 08 2020 /maps/south-sudan-%E2%80%94-covid-19-inflows-flow-neighbouring-countries-april-2020 https://displacement.iom.int/system/tdf/maps/SSD_FLOW_COVID_COUNTRIES_APRIL.pdf?file=1&type=node&id=8865 8865

South Sudan — COVID-19 - Inflows From Affected Areas in Neighbouring Countries (April 2020) IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggreagated data about COVID-19 cases in neighbouring countries compiled by UNICEF, with the aim of mapping population inflows at risk of COVID-19 transmission. Data on individuals travelling from areas with COVID-19 cases includes both those entering from neighbouring countries as well as internal movements within South Sudan. The reported volume of individuals entering South Sudan from neighboring countries has decreased considerably in April compared to March due to several factors:a reduction of population flows due to regional COVID-19 preventative measuresa reduction of flow monitoring pointsmore precise geographic data on areas with confirmed COVID-19 casesData reflects the situation as of 30 April.  public:///thumbs/637275461411103445.png Jun 08 2020 /maps/south-sudan-%E2%80%94-covid-19-inflows-affected-areas-neighbouring-countries-april-2020 https://displacement.iom.int/system/tdf/maps/SSD_FLOW_COVID_AREAS_APRIL.pdf?file=1&type=node&id=8864 8864

DTM COVID19 Regional Atlas Point Operational Status As Of 28 May 2020 The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE) and Other Key Locations of Internal Mobility, globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at location level. public:///thumbs/637268078487244694.png Jun 03 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-28-may-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200528_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=8818 8818

DTM COVID19 Regional Atlas Point Operational Status As Of 22 May 2020 The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE), globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at location level. public:///thumbs/637262255997104498.png May 28 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-22-may-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200522_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=8748 8748

DTM COVID19 Regional Atlas Point Operational Status As Of 14 May 2020 The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE), globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at location level.   public:///thumbs/637255776795578606.png May 20 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-14-may-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200514_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=8677 8677

DTM COVID19 Regional Atlas Point Operational Status As Of 07 May 2020 The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE), globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at location level.   public:///thumbs/637249844925604693.png May 13 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-07-may-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200507_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=8603 8603

DTM COVID19 Regional Atlas Point Operational Status as of 30 April 2020 The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE), globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at location level.   public:///thumbs/637242955047676509.png May 05 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-30-april-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200430_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=8471 8471

DTM COVID19 Regional Atlas Point Operational Status As Of 19 Apr. 2020  The current outbreak of COVID-19 has affected global mobility in complex and unprecedented ways in the form of various travel restrictions, suspension of air travel and border closures. To better understand this, the International Organization for Migration (IOM) has developed a global mobility database to map these impacts on human mobility, across global, regional and country levels. Furthermore, COVID-19 has had a disproportionate impact on vulnerable populations in camps and camp-like settings as well as exacerbated the vulnerabilities of mobile populations who may now be stranded owing to COVID-19 related mobility restrictions. This data is particularly important when addressing specific needs faced by migrants and mobile populations.IOM has developed a global mobility database mapping the status of different Points of Entry (PoE), globally. These include airports, land border crossing points (could be rail or road), blue border crossing points (sea, river or lake), internal transit points and areas of interest. For each point of entry, data is collected on the type of restriction, measured applied and the timeframe, as well as the population category that may be affected by the restrictive measures. This workstream uses direct input from IOM missions and this dashboard displays regularly updated mobility restrictions at location level.   public:///thumbs/637238679441570440.png Apr 30 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-19-apr-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200419_MRM_Regional_Atlas_Point_Operational_Status1.pdf?file=1&type=node&id=8446 8446

South Sudan — COVID-19 — Inflows From Affected Areas in Neighbouring Countries (March 2020) IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggregated data about COVID-19 cases in neighbouring countries compiled by UNICEF, with the aim of mapping population inflows at risk of COVID-19 transmission. The analysis is indicative of incoming movements 73 flow monitoring points at South Sudan’s borders and internal transport hubs, of which 65 recorded incoming cross-border travel in March 2020. This map shows inflows from COVID-19 affected areas in neighbouring countries in March 2020. COVID-19 cases in neighbouring countries are mapped at the first administrative level in Kenya, the Democratic Republic of Congo and the Central African Republic, and at the second administrative level in Uganda, Sudan and Ethiopia. public:///thumbs/637275464070279252.png Apr 20 2020 /maps/south-sudan-%E2%80%94-covid-19-%E2%80%94-inflows-affected-areas-neighbouring-countries-march-2020-0 https://displacement.iom.int/system/tdf/maps/SSD_FLOW_COVID_AREAS_MARCH_0.pdf?file=1&type=node&id=8321 8321

South Sudan — COVID-19 — Inflows From Affected Areas in Neighbouring Countries (March 2020) IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggregated data about COVID-19 cases in neighbouring countries compiled by UNICEF, with the aim of mapping population inflows at risk of COVID-19 transmission. The analysis is indicative of incoming movements 73 flow monitoring points at South Sudan’s borders and internal transport hubs, of which 65 recorded incoming cross-border travel in March 2020. This map shows inflows from affected areas in neighbouring countries in March 2020. Cases are mapped at the first administrative level for Kenya, the Central African Republic and the Democratic Republic of Congo, and at the second administrative level for Ethiopia, Uganda and Sudan. public:///thumbs/637275463692932288.png Apr 20 2020 /maps/south-sudan-%E2%80%94-covid-19-%E2%80%94-inflows-affected-areas-neighbouring-countries-march-2020 https://displacement.iom.int/system/tdf/maps/SSD_FLOW_COVID_AREAS_MARCH.pdf?file=1&type=node&id=8320 8320

South Sudan — COVID-19 — Inflows from neighbouring countries (March 2020) IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggregated data about COVID-19 cases in neighbouring countries compiled by UNICEF, with the aim of mapping population inflows at risk of COVID-19 transmission. The analysis is indicative of incoming movements 73 flow monitoring points at South Sudan’s borders and internal transport hubs, of which 65 recorded incoming cross-border travel in March 2020. This map shows overall inflows from neighbouring countries in March 2020. public:///thumbs/637275462576984863.png Apr 20 2020 /maps/south-sudan-%E2%80%94-covid-19-%E2%80%94-inflows-neighbouring-countries-march-2020 https://displacement.iom.int/system/tdf/maps/SSD_FLOW_COVID_COUNTRIES_MARCH.pdf?file=1&type=node&id=8319 8319

DTM COVID19 Regional Atlas Point Operational Status as of 16 Apr. 2020 Status of entry and exit points by Country / Territory / Area Locations assessment coverage as of 16 Apr. 2020 public:///thumbs/637230043137739979.png Apr 20 2020 /maps/dtm-covid19-regional-atlas-point-operational-status-16-apr-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200416_MRM_Regional_Atlas_Point_Operational_Status%20%281%29.pdf?file=1&type=node&id=8318 8318

Regional Atlas - Status Of Entry And Exit Points By Country, 14 April 2020 public:///thumbs/637224987970863322.png Apr 14 2020 /maps/regional-atlas-status-entry-and-exit-points-country-14-april-2020 https://displacement.iom.int/system/tdf/maps/DTM_COVID19_20200414_MRM_Regional_Atlas_Point_Operational_Status.pdf?file=1&type=node&id=8274 8274